20.500.12556/RUL-147466 Advancing manufacturing systems with big-data analytics a conceptual framework With the intensive development and implementation of information and communication technologies in manufacturing, large amounts of heterogeneous data are now being generated, gathered and stored. Handling large amounts of complex data – often referred to as big data – represents a challenge as there are many new approaches, methods, techniques, and tools for data analytics that open up new possibilities for exploiting data by converting them into useful information and/or knowledge. However, the application of advanced data analytics in manufacturing lags behind in terms of penetration and diversity in comparison with other domains such as marketing, healthcare and business, meaning that the available data often remain unexploited. This paper proposes a new conceptual framework for systematically introducing big-data analytics into manufacturing systems. To this end, the paper defines a new stepwise procedure that identifies what knowledge and skills, and which reference models, software and hardware tools, are needed for the development, implementation and operation of data-analytics solutions in manufacturing systems. The feasibility of the proposed conceptual framework is demonstrated in a case study from an engineer-to-order company and by mapping the framework to several previous data-analytics projects. manufacturing systems data analytics big data conceptual framework proizvodni sistemi podatkovna analitika velepodatki konceptualni okvir true false true Angleški jezik Slovenski jezik Članek v reviji 2023-07-05 13:37:05 2023-07-05 13:37:11 2023-07-06 03:47:27 0000-00-00 00:00:00 2020 0 0 Str. 169-188 no. 2 Vol. 33 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 658.5(045) 0951-192X 10.1080/0951192X.2020.1718765 17034523 Advancing_manufacturing_systems_with_big_data_analytics_A_conceptual_framework.pdf Advancing_manufacturing_systems_with_big_data_analytics_A_conceptual_framework.pdf 1 4E43C0CF3F99773F4AC6EA54AF070077 ba226069f6c12ee263fcacb24826f6612de3f4bc6591279d9600afa59f31c0b8 1d72347f-1b28-11ee-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=171054 https://www.tandfonline.com/doi/full/10.1080/0951192X.2020.1718765 1 dcebf4bd-1b27-11ee-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=171053 Fakulteta za strojništvo 0 0 0